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TABLE 4-8 Components of the Query Properties in the Query Designer (continued)
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We have now covered all the basic information surrounding the Query Designer and the functionality of the BEx Analyzer. You should try to gain access to a BI server to test out these options and get some hands-on experience to see what each of these parameters can do for you. We will be using and working with many of these functions in later chapters and referring to options for configuring certain calculations and settings. For example, if you use the properties of the key figures, you can set up a query that has the initial column with the raw data (for example, sales revenue by customer), then in the next column you can use that same key figure and the key figure ranking property to create a numbering system to identify the highest-priority customers. Then in another column you can use the same key figure but this time use the option as % , which will give you the percentage of the total sales revenue by customer. This offers your business users tremendous value rather than just viewing raw data, they can now look at an analysis of the data that offers strategic information. They can answer questions such as, what customer generates the largest percentage of my business What is the overall ranking of my customers by sales revenue These functions are just the initial set of options the BEx Query Designer and BEx Analyzer have to offer. In the next three chapters we will discuss numerous other components and tools.
CHAPTER
Configuration in the BEx Query Designer Working with the Numbers
e are now getting into the details of the design and configuration portion of the SAP BI reporting tools. Because there is so much to explain and review, I ve decided to divide the information and discussions across three chapters. This chapter focuses on the use of the key figures in our InfoProviders and what we can do with them to help enhance the information we get from our queries. Included in this discussion is the use and configuration of restricted key figures (RKFs) and calculated key figures (CKFs), working with other parameters in the key figures (such as the Constant Selection option), and finally the use of the key figure properties. Certain areas are introduced in this chapter and also included in 13 such as the configuration of the Unit of Measure option. You will notice the number of screen shots increasing in these chapters. I believe that these will be reasonable views of the options in the BEx Query Designer for quite a while and will probably not change much in terms of look and feel for a number of years.
Introduction to the Key Figures
Normally when you fill your InfoProviders (actually Data Targets) with data, you are uploading a series of records. You will need to decide on the granularity of the records being loaded, and that granularity will depend on a number of requirements from the source system information to the level in BW you are loading. As mentioned, in many cases, you will want to store the data at a level that can satisfy all parties. That being said, the data will then have to be manipulated at the query level to get the required results. This is where the use of restricted key figures (RKFs) and calculated key figures (CKFs) comes to the rescue. They are very useful in these situations. You can create a detailed column or row to filter the information and then generate a detailed report. Remember that in the query itself you can define a filter, at the top level of the query, and have that filter apply to the entire query, however, what if you need to have that particular restriction apply to only one column or a series of columns For example, suppose we would like to have a report that
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